Evidence map›Paper›PMID 34333350›Full record

ReviewInternational journal for parasitology. Drugs and drug resistance2021

Genetic surveillance for monitoring the impact of drug use on Plasmodium falciparum populations.

Yaye Die Ndiaye, Daniel L Hartl, David McGregor, Aida Badiane, Fatou Ba Fall, Rachel F Daniels, Dyann F Wirth, Daouda Ndiaye, Sarah K Volkman

Open access · goldAbstract readReview
In one paragraph

Review in International journal for parasitology. Drugs and drug resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Genetic Diversity ofTropical medicine and infectious disease · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Wellcome open research · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Evolutionary genetics of malaria.Frontiers in genetics · 2022
    Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 3 countries.

Yaye Die NdiayeDantec Teaching and Research Hospital, Dakar, Senegal. Electronic address: ydndiaye@gmail.com.
Daniel L HartlHarvard University, Cambridge, MA, USA. Electronic address: dhartl@oeb.harvard.edu.
David McGregorHarvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: dmcgregor@hsph.harvard.edu.
Aida BadianeCheikh Anta Diop University, Dakar, Senegal. Electronic address: asbadiane@gmail.com.
Fatou Ba FallProgramme National de Lutte Contre le Paludisme, Senegal. Electronic address: fatybafall@gmail.com.
Rachel F DanielsHarvard T.H. Chan School of Public Health, Boston, MA, USA; The Broad Institute, Cambridge, MA, USA. Electronic address: rdaniels@hsph.harvard.edu.
Dyann F WirthHarvard T.H. Chan School of Public Health, Boston, MA, USA; The Broad Institute, Cambridge, MA, USA. Electronic address: dfwirth@hsph.harvard.edu.
Daouda NdiayeCheikh Anta Diop University, Dakar, Senegal. Electronic address: daouda.ndiaye@ucad.edu.sn.
Sarah K VolkmanHarvard T.H. Chan School of Public Health, Boston, MA, USA; The Broad Institute, Cambridge, MA, USA; Simmons University, Boston, MA, USA. Electronic address: svolkman@hsph.harvard.edu.
Broad Institute · USCheikh Anta Diop University · SNComité National de Lutte contre le SIDA · CMHarvard University · USHarvard University Press · USHôpital Aristide Le Dantec · SN

Funding

Novel Genetic Mechanism of Artemisinin Resistance for MalariaR01AI099105 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI HARTL, DANIEL L, WIRTH, DYANN F · 2013 to 2021
$5.4M
NIAID NIH HHS R01 AI099105
6 · The paper itself

Abstract

The use of antimalarial drugs is an effective strategy in the fight against malaria. However, selection of drug resistant parasites is a constant threat to the continued use of this approach. Antimalarial drugs are used not only to treat infections but also as part of population-level strategies to reduce malaria transmission toward elimination. While there is strong evidence that the ongoing use of antimalarial drugs increases the risk of the emergence and spread of drug-resistant parasites, it is less clear how population-level use of drug-based interventions like seasonal malaria chemoprevention (SMC) or mass drug administration (MDA) may contribute to drug resistance or loss of drug efficacy. Critical to sustained use of drug-based strategies for reducing the burden of malaria is the surveillance of population-level signals related to transmission reduction and resistance selection. Here we focus on Plasmodium falciparum and discuss the genetic signatures of a parasite population that are correlated with changes in transmission and related to drug pressure and resistance as a result of drug use. We review the evidence for MDA and SMC contributing to malaria burden reduction and drug resistance selection and examine the use and impact of these interventions in Senegal. Throughout we consider best strategies for ongoing surveillance of both population and resistance signals in the context of different parasite population parameters. Finally, we propose a roadmap for ongoing surveillance during population-level drug-based interventions to reduce the global malaria burden.

Indexed as

AntimalarialsMalariaMalaria, FalciparumPharmaceutical PreparationsDrug ResistanceHumansPlasmodium falciparumAntimalarialsPharmaceutical PreparationsGenetic surveillanceMass drug administration (MDA)Population geneticsSeasonal malaria chemoprevention (SMC)Selective sweepTherapeutic efficacy study (TES)

Identifiers

PMID34333350
PMCPMC8342550
OpenAlexW3185470179

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.